方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 面板空间回归× | 空间杜宾模型 (SDM)× | |
|---|---|---|
| 领域 | 空间分析 | 空间分析 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1988-2014 | 2009 |
| 提出者≠ | Anselin, Elhorst, and colleagues in spatial econometrics | LeSage & Pace |
| 类型≠ | Spatial panel regression | Spatial regression model |
| 开创性文献≠ | Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408 | LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. DOI ↗ |
| 别名≠ | spatial panel model, panel spatial econometrics, spatial panel data regression, PSR | SDM, spatial mixed model, uzamsal durbin modeli |
| 相关≠ | 6 | 5 |
| 摘要≠ | Panel Spatial Regression extends standard panel data models by explicitly accounting for spatial dependence among cross-sectional units observed over time. It combines the temporal control of panel fixed or random effects with a spatial weights matrix that encodes geographic or network proximity, yielding unbiased and efficient estimates when observations are spatially correlated across units. | The Spatial Durbin Model is a general spatial regression model that includes a spatial lag of both the dependent variable (ρWy) and the explanatory variables (WXθ). Introduced as the recommended starting point by LeSage and Pace (2009), it nests the spatial autoregressive (SAR) and spatial error (SEM) models as special cases. |
| ScholarGate数据集 ↗ |
|
|